At a Glance
- Tasks: Join a team pushing the boundaries of generative AI in image and video synthesis.
- Company: Meta, a leader in innovative technology and AI research.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic research environment with a focus on creativity and innovation.
- Why this job: Make a real impact in AI while collaborating with top experts in the field.
- Qualifications: PhD in Computer Science or related field, with strong analytical and programming skills.
The predicted salary is between 60000 - 80000 £ per year.
Meta is seeking a Research Scientist to join Monetization Generative AI (MGenAI) in London. In the past year, generative AI has seen some of the most significant breakthroughs ever achieved, particularly in large language models and generative image models. Meta Monetization GenAI’s mission is to lead the charge in generative AI technology and build products that will help businesses become more productive and efficient. The London team is particularly focused on image creative generation. Individuals in this role are expected to be recognized experts in AI and machine learning, particularly in areas such as generative AI and computer vision. The ideal candidate will have a keen interest in producing new applied science to make computers more intelligent, and more importantly convert that into production at a large scale.
Responsibilities:
- Collaborate on research that enables AI-based image/video synthesis and editing.
- Collaborate on research that enables learning the semantics of data (images, video, text, audio, and other modalities).
- Contribute research that can be applied to Meta product development.
- Influence progress of relevant research communities by producing publications.
- Collaborate and increase productivity on existing Meta AI projects as a contributing team member.
Minimum Qualifications:
- Currently has or is in the process of obtaining a PhD degree in Computer Science or related field or relevant experience.
- Track record of publications that demonstrate experience in a quantitative domain.
- Experience collaborating within a team to solve analytical problems using quantitative approaches.
- Ability to manipulate and analyze high-volume, high-dimensionality data from varying sources.
- Knowledge in a programming language.
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications:
- First-author publications at peer-reviewed AI conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML and ICLR).
- Experience conducting original research that can be applied to Generative AI research at Meta.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
AI Research Scientist - GenAI (PhD) in London employer: Meta Platforms, Inc.
Meta is an exceptional employer, particularly for those passionate about advancing generative AI technology in a vibrant city like London. With a strong commitment to innovation, employees benefit from a collaborative work culture that fosters creativity and professional growth, alongside opportunities to contribute to groundbreaking research that impacts real-world applications. The company also prioritises inclusivity and support for diverse needs, ensuring a rewarding and meaningful work experience for all team members.
StudySmarter Expert Advice🤫
We think this is how you could land AI Research Scientist - GenAI (PhD) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning community, especially those connected to Meta. Attend meetups, webinars, or conferences where you can chat with industry experts and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research, projects, and any publications you've got. This is your chance to demonstrate your expertise in generative AI and computer vision, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past research and how it relates to Meta's mission in generative AI. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Research Scientist - GenAI (PhD) in London
Some tips for your application 🫡
Show Off Your Expertise:Make sure to highlight your PhD and any relevant experience in AI and machine learning. We want to see your track record of publications, so don’t hold back on showcasing your best work!
Tailor Your Application:When applying, customise your CV and cover letter to reflect the specific skills and experiences that align with the role. We love seeing how your background fits into our mission at Meta!
Collaborative Spirit:Emphasise your ability to work within a team. Mention any past collaborations that led to solving complex problems, as teamwork is key in our research environment at Meta.
Apply Through Our Website:Don’t forget to submit your application through our official website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity.
How to prepare for a job interview at Meta Platforms, Inc.
✨Know Your Generative AI Stuff
Make sure you brush up on the latest breakthroughs in generative AI, especially in large language models and image generation. Be ready to discuss your own research and how it aligns with Meta's mission to enhance productivity through AI.
✨Show Off Your Collaboration Skills
Since this role involves teamwork, prepare examples of how you've successfully collaborated on research projects. Highlight your ability to solve analytical problems as part of a team, and be ready to discuss how you can contribute to existing Meta AI projects.
✨Bring Your Publications to the Table
If you've got first-author publications, especially in top-tier AI conferences, make sure to mention them! Discussing your work will not only showcase your expertise but also demonstrate your commitment to advancing the field of AI.
✨Get Technical with Programming
Be prepared to talk about your programming skills and how you've used them to manipulate and analyse high-volume data. Brush up on relevant languages and be ready to discuss specific projects where you've applied these skills.
